Int. J. Metrol. Qual. Eng.
Volume 2, Number 1, 2011
|Page(s)||45 - 49|
|Published online||29 June 2011|
Inertial capability index based on fuzzy data
Department of Statistics, Faculty of Mathematical Science, University of Mazandaran, 47417-95447 Babolsar, Iran
⋆ Correspondence: email@example.com
⋆⋆ Correspondence: Samane.firstname.lastname@example.org
Received: 9 March 2011
Accepted: 14 March 2011
Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. In some cases, quality characteristic and target are not precise numbers and they are expressed in fuzzy terms, so that the classical capability indices cannot be applied. In this paper we obtain a confidence interval for inertial capability index Cpi (defined by [Pillet, TQM Mag. 16, 202–209 (2004)]) based on fuzzy data and propose a membership function for it.
Key words: Confidence interval / Dp,q - distance / fuzzy random variable / membership function / inertial tolerancing / inertial capability index
© EDP Sciences 2011
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